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🗓 Submission Timing Intelligence

When is the best month — and weekday — to submit your planning application? Real approval-rate + decision-speed data from 25,848 dated decisions across UK LPAs.

📅 Monthly breakdown per LPA 🏆 Best / worst windows ⚡ Decision-speed by month 🌍 National baseline for context
🏛️ By LPA 🗓 Best LPAs by Month
Narrow by type All types Householder Full / Major Outline Reserved Matters Listed Building Conservation Area Prior Approval Lawful Development Change of Use

📊 Enfield

Months below refer to when you submit, not when the decision lands. Each application is bucketed by its received_date month — but the approval rate measures the final outcome, whenever it landed (60-90 days later typically). The lag is already baked into the signal: "submit in December = 100% approval" already accounts for the fact that those decisions arrive in Feb/March. The month-by-month table below shows the lag explicitly so you can see the full cycle.

Best month to submit: February — apps submitted then end up with 90.4% approval (sample: 52 decisions). Avoid submitting in November (69.7% approval).
🏆 Best SUBMIT Month
February
Apps submitted then → 90.4% approval (52 decisions)
⚠️ Avoid SUBMITTING In
November
Apps submitted then → 69.7% approval (33 decisions)
⚡ Submit For Fastest Decision
February
Apps submitted then → avg 35 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 57 days (~2 months), the table below shows when to submit if you want your decision to land in a specific month.

If you want a decision in...Submit by (approx.)That submit month's approval rate
Jan Submit by end of Nov 69.7%
Feb Submit by end of Dec 86.3%
Mar Submit by end of Jan 89.8%
Apr Submit by end of Feb 90.4%
May Submit by end of Mar 100%
Jun Submit by end of Apr
Jul Submit by end of May
Aug Submit by end of Jun
Sep Submit by end of Jul 100%
Oct Submit by end of Aug
Nov Submit by end of Sep
Dec Submit by end of Oct 100%

Inverse calculation is approximate — actual decision time varies (range typically ±30 days). Use the Decision Time Predictor for tighter forecasts.

⏱ Decision speed by application type

How long different application types actually take at Enfield. Householder apps are statutorily 8 weeks; full/major are 13 weeks — but the real numbers usually drift. This is what the data says, not what the statute says.
→ Fastest: Conservation Area (33 days). Slowest: Full / Major (60 days).

Application type Decisions Approval rate Avg days Range
Full / Major 198 69.7% 60 d (9 wk) 31–290 d Filter ▸
Householder 194 80.4% 50 d (7 wk) 26–197 d Filter ▸
Lawful Development 191 85.9% 41 d (6 wk) 16–185 d ✕ clear
Prior Approval 89 88.8% 39 d (6 wk) 28–78 d Filter ▸
Conservation Area 62 88.7% 33 d (5 wk) 8–56 d Filter ▸
Advertisement 13 84.6% 46 d (7 wk) 35–56 d Filter ▸
Listed Building (low sample) 5 60% 48 d (7 wk) 40–56 d Filter ▸
Reserved Matters (low sample) 1 100% 118 d (17 wk) 118–118 d Filter ▸

ⓘ Month-by-month stats above are filtered to Lawful Development only. The table above always shows all types so you can compare.

📅 Month-by-month breakdown — full submit→decide cycle

Each row shows the complete journey for applications received in that month: how long they took, when the decision actually landed, and what % were approved. The approval rate already accounts for everything that happens between submission and decision — the lag is part of the signal.

Submit month Decisions Approval rate Median lag Decision typically lands in Range
January 49
89.8%
38d (~5wk) → February 28–56d
February 52
90.4%
35d (~5wk) → March 16–56d
March 4
100%
28d (~4wk) → April 20–30d
November 33
69.7%
50d (~7wk) → January 34–116d
December 51
86.3%
42d (~6wk) → January 34–63d

Read across each row: submit in [month] → wait [median lag] → decision lands in [target month] → outcome [approval rate]. The approval rate is the final outcome of the whole cycle, not a snapshot.

🗓 Day-of-week patterns

Day receivedDecisionsApproval rateAvg days
Monday 52 88.5% 41
Tuesday 41 80.5% 42
Wednesday 30 80% 45
Thursday 30 90% 55
Friday 37 91.9% 38
⚖️ Why timing matters less than they pretend: A planning decision should be made on its substantive merits, not the season. But officers have queues, committees have schedules, and consultees go on holiday. The data is a guide to operational friction, not policy friction. If your scheme is sound, time it to land in their best window. If it's borderline, give yourself every advantage.
📊 Data sources & freshness

Timing is a tactical edge, not strategic justification. Use alongside the constraint check + pattern fingerprint to make the case strong on substance, then time it to land well.

  • planning_applications.received_date (updated Daily ingest)
    25,848 dated decisions where both received_date and decision_type are known. Approval = approved/granted/permit. Sample size gating: months with fewer than 8 decisions excluded from best/worst recommendation.
  • Day-of-week patterns
    Reflects when applicants choose to submit, which may correlate with applicant type (Monday = professional consultants; Friday = end-of-week DIY submissions). Causality is correlative not causal.
  • Decision-time outliers
    Months showing 200+ day averages are flagged — they reflect older PINS-appeal-derived rows where determinations stretched over many months. Read the Jan/Feb/Nov/Dec numbers (largest samples) as the reliable benchmark.
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